Docutrix vs NotebookLM for teams

You create a notebook, add sources, and ask questions. Google says answers come with clear in-line citations for accuracy, transparency and trust. It accepts a wide range of source types, from PDFs and Google Docs to web pages, YouTube videos and audio, and Google describes people using it to turn notes into audio and video summaries.

Each notebook is its own set of sources. The free tier allows 50 sources per notebook and 50 chats a day, and notebooks can be kept private, shared with individuals or made public.

Docutrix treats your documents as one shared library rather than a set of separate notebooks. Your team asks questions across everything that's been indexed, and every answer cites the exact document and page. If the answer isn't in your documents, Docutrix says so.

On Business and Enterprise, Docutrix connects to SharePoint and Google Drive, so the index updates when files change, and the Team Admin Panel lets admins restrict document collections to specific users or teams. Four Industry Contexts (Legal, Finance, HR & People, Engineering) help it handle the language of those fields.

NotebookLM's Standard tier is free; more notebooks, sources and daily chats come with Google AI plans or qualifying Google Workspace editions. For many individuals and students, free is hard to beat.

Docutrix starts at $30 USD per month on Starter (2 users, 100 indexed pages, 1,000 queries). Pro is $100 per month for 10 users and 10,000 pages. Business, at $20 per user per month (minimum 5 users), adds the SharePoint and Google Drive integrations and the Team Admin Panel. Every plan has a 30-day free trial with no credit card. See full pricing.

Google says your data is not used to train the product unless you provide feedback, and that if you do share feedback it may review the full context of that interaction. For eligible work and school accounts, uploads, chats and outputs won't be reviewed by humans or used to improve generative AI models.

Docutrix never uses documents, queries or answers to train AI models, on any plan. Each organisation's data is isolated and encrypted, and Enterprise adds data residency, on-premise or dedicated hosting, and a private LLM in your own VPC. See security.